search for: wgts

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2005 Oct 19
2
Automatic rounding of values after factors , converted to numeric, are multipled by a real number
I am wondering if someone would have any suggestion about my issue? I have the following code: wgts<-aggregate(subset(lendata,select=c(Length)),list(lendata$Cruise,len data$Station,lendata$Region,lendata$Total),mean) wgts<-wgts[order(wgts$Group.3,wgts$Group.1,wgts$Group.1),] names(wgts)<-c("Cruise","Station","Region","Total","MLen") wgts$...
2008 Mar 30
1
Second & subsequent calls to function fails. Please help debug.
...r3) tukey.nonadd.test(ov.lm) @ At that point I ran debug() on the call: debug(tukey.nonadd.test) tukey.nonadd.test(ov.lm) debugging in: tukey.nonadd.test(ov.lm1) debug: { envir <- environment(formula(m)) dd <- eval(m$call$data, envir) subs <- eval(m$call$subset, envir) wgts <- eval(m$call$weights, envir) naa <- m$call$na.action dd <- data.frame(dd, preds.sq = predict(m, dd)^2) uf <- update.formula(formula(m$terms), ~. + preds.sq) environment(uf) <- environment(NULL) mup <- if (is.null(naa)) lm(uf, data = dd, subset =...
2005 Sep 21
2
Help on optim
...or equal to 1 c) Sum of the weights should be equal to 1. Now after googling around a bit & trying my hands at RSiteSearch , I found that I can use optim with L-BFGS-B method and could possible use lower bound and upper bound for constraint, however I am clueless as to how I can impose the sum(wgts) = 1 condition. In excel solver, this problem is extremely simple since it's just a matter of setting an additional constraint of setting the summation cell to 1. Your kind help is greatly appreciated. Best Regards Manoj
2006 Apr 19
1
Trouble with glm() .... non-integer #successes in a binomial glm
...data=dat, family=binomial, weights= dat$hy.wgt.s, subset=(dat$haspdat0!=3) ) I get the message: Warning message: non-integer #successes in a binomial glm! in: eval(expr, envir, enclos) Does anyone know what this means?? The data for this command is listed below. Thanks, Phil Smith CDC dat.hy.wgts.s Here is my data: > table( dat$haspdata ) 0 1 21890 9097 > is.integer( dat$haspdata ) [1] TRUE dat$hy.wgt.s > summary( dat$hy.wgt.s) Min. 1st Qu. Median Mean 3rd Qu. Max. 0.003374 0.657700 0.874200 1.000000 1.204000 8.557000 dat$haspdat0 > table(dat$hasp...
2008 Dec 19
2
How do I generate one vector for every row of a data frame?
I am trying to generate a set of data points from a Gaussian mixture model. My mixture model is represented by a data frame that looks like this: > gmm weight mean sd 1 0.3 0 1.0 2 0.2 -2 0.5 3 0.4 4 0.7 4 0.1 5 0.3 I have written the following function that generates the appropriate data: gmm_data <- function(n, gmm) { c(rnorm(n*gmm[1,]$weight, gmm[1,]$mean,